A unified parametric representation for robotic compliant skills with adaptation of impedance and force

Zeng, Chao, Li, Yanan, Guo, Jing, Huang, Zhifeng, Wang, Ning and Yang, Chenguang (2021) A unified parametric representation for robotic compliant skills with adaptation of impedance and force. IEEE/ASME Transactions on Mechatronics. pp. 1-11. ISSN 1083-4435

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Robotic compliant manipulation is a very challenging but urgent research spot in the domain of robotics. One difficulty lies in the lack of a unified representation for encoding and learning of compliant profiles. This article aims to introduce a novel learning and control framework to address this problem: 1) we provide a parametric representation that enables a compliant skill to be encoded in a parametric space and allows a robot to learn compliant manipulation skills based on motion and force information collected from human demonstrations; and 2) the updating laws of the compliant profiles, including impedance and force profiles, are derived from a biomimetic control strategy based on the human motor learning principles. Our approach enables the simultaneous adaptation of impedance and feedforward force online during robot’s reproduction of the demonstrated tasks to deal with task dynamics and external interferences. The proposed approach is verified based on both simulation and real-world task scenarios.

Item Type: Article
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Schools and Departments: School of Engineering and Informatics > Engineering and Design
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 31 Aug 2021 07:04
Last Modified: 13 Dec 2021 17:00
URI: http://sro.sussex.ac.uk/id/eprint/101376

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